future tech challenge ibm overview
TRANSCRIPT
IBM’s FTC Disciplines
• Data Science
• Machine Learning / Artificial Intelligence
• Data Governance
• Data Integration
The AI Ladder IBM’s approach to the journey to AI
Cloud Pak for Data – A Platform for AI
Infuse AI Applications
Hybrid cloud platform
Cloud Pak for DataPre-integrated Data, AI and Cloud services delivered within
an open and extensible cloud native platform
Organize Analyze Collect
IBM Cloud / © 2018 IBM Corporation
IBM Data Virtualisation
CP4D
Cluster
Constellation
Caching
Policy
Data Source
Node
AnalyticsApplication
Query anything, anywhereQuery many heterogenous data sources as one across cloud
Extreme simplicityAutomatically discover and connect few, to many, devices and data stores into a single self balancing constellation.
Execution speedupAcceleration using the power of every device to compute and aggregate results.
Security Fully secure and encrypted communication and preservation of data access rights at source.
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Watson™️ Knowledge CatalogOpen and intelligent data catalog for enterprise data and AI model governance, quality, and collaboration.
WKC Use Cases
• Metadata Management
• Regulatory compliance
• Improve Data Quality
• Enterprise Data & AI Governance
• Data monetization and self-service
• Enterprise Data Cataloging
• Data lake consumption
• Reference Data Management
• DataOps Maturity
Search for terms in global
search
Import new reference data
from a csv file
Assess data quality
Analyse any data, no matter where it livesConnect to and analyse your data through dozens of connectors and multiple deployment options
Collaborative project-based working with security and access controlsControl and manage access to client projects and data.Leverage data masking and governance
Leverage a variety of tools and frameworks in a single integrated platform Open Source development environments, and visual productivity tools, automation tools and Git integration
One platform to from discovery to production Seamlessly integrated with other parts of Cloud Pak for Data
IBM Watson StudioEnterprise Data Science platform that helps your team work together to build models to make better data driven decisions for your business
Watson Studio AutoAI
• Integrated with Watson Studio and Watson Machine learning
• Automatically ingest, clean, transform, and
model with data prep, model selection, feature engineering, and hyper-parameter optimization
• Training feedback visualizations provide real-time results to see model performance
• Binary, Multiclass, and Regression support
• One-click deployment to Watson Machine Learning
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Watson Assistant
Dialog Search Agent
Watson Assistant Skills
Channel ResolutionCustomer, Employee
Watson Discovery
Single path to get the job done, including phone.
Combine conversational AI, with AI-powered search
Uses AI to resolve customer questions the fastest in the market.
Connect to any systems or applications you need
Conversational AI that fuels smart customer self-service.
IBM Watson OpenScaleAutomate & Operate AI at Scale
Production monitoring for complianceDetect and mitigate model bias; audit and explain model decisions
Ensure models resiliency in changing situationsDetect drift in data and anomaly in model behavior; specify inputs and triggers to model lifecycle
Align model performance with business outcomesCorrelate model metrics and business KPIs to measure business impact; actionable metrics and alerts
Cloud Pak for Data speeds time to data driven transformation
Speed to
insights
Data
Governance
Customer
Experience
Operational
Efficiency
Improving customer experiences
and a governed data dashboard
Reduce errors in overstocking
and shortagesAI-driven insights for speed
and efficiencies gains
Data driven
transformation
Enhance the value of data
science throughout the business
Meet increased
business
demand
Improving the quality
of customer service
Collect
– Data virtualization
– SQL and NoSQL databases
– Event ingestion
– Streaming Analytics
– Apache Spark
Cloud Pak for DataUnified, modular, deployable anywhere
Analyze
– Data science and
visualization
– AutoAI
– Model trust and
explainability
– Model optimization
App Developers | Business Analysts | Data Engineers | Data Stewards | Data Scientists | Business Users
Extensible: APIs, partner ecosystem, accelerators, and solutions
Integrated User Experience
Cloud Pak core services
Security, Administration, Operations
IBM Cloud | Amazon Web Services | Microsoft Azure | Google Cloud | Hyperconverged system
Red Hat OpenShift
Organize
– Data transformation
– Data quality and
classification
– Policies and rules
– Data cataloging
– Self-service discovery
and search
Infuse
– Business reporting
and visualization
– Financial planning
and analysis
– Cloud native AI services
– RegTech and Financial
Crimes Insight
Make data simple and accessible
Understand and prepare data for analysis
Build and scale AI with trust and transparency
Deploy, manage and monitor AI at scale
Operationalize AI throughout the business
Govern, search and use business ready data
ORGANIZE ANALYZECOLLECT INFUSE
Cloud Pak for Data Control Plane
Authentication, Roles and Authorization
Installation & Patching. & upgrades
Workloads Management | Metering | Diagnostics
Backup & RestoreExtensibility – Add-on Services & Access management
Co
ntr
ol
Pla
ne
Co
mp
on
en
ts / C
ap
ab
ilit
ies
Watson Knowledge Catalog
• Dictionary
• Catalog
• Discovery
• Quality
• Asset Management
• Data Refinery
Watson OpenScale
Watson Studio Local
• AutoAI
• Juypter Notebooks
• JupyterLab
• Rstudio
• Data Refinery
• Environments
• Federated Learning
Watson Machine
Learning
Streams
Analytics
Dashboard
Industry
Accelerators
Watson Studio Premium
• SPSS Modeler
• Decision Optimization
• Execution Engine for
Apache Hadoop
Watson Financial
Crimes InsightPalantir
Watson Assistant
+ Voice Interaction
Watson API Kit(STT, TTS, WLT, NLU, etc.)
Watson
DiscoveryOpen Pages (GRC)
Accelerators powered by Cloud Pak for Data
IBM Cloud SystemsEdge PrivateAWS MS Azure Google Cloud
Cognos Analytics
Planning Analytics
Data
Virtualization
Db2
Warehouse
Event Store
Performance
Server
Big SQL
Analytics
Engine - Spark
Db2
Informix
3rd Party
Information
Server
DataStage
Enterprise /
Ent. Plus (ETL)
Virtual Data
Pipeline
3rd Party
Master Data
Management
Data Privacy
(tech preview)
Data
Connectors
Watson Machine
Learning Accelerator
Knowledge
Accelerators
3rd Party
A true
hybrid multicloud
strategy
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3
21
2
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Software
System
as a Service
1
Managed by IBM/Vendor
Managed by Customer
Deploy anywhereIncluding as a managed service on IBM Cloud
